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A tobacco market big data visualization method based on space-time grids

A market data and big data technology, applied in the field of spatiotemporal data mining and tobacco market big data analysis, can solve the problem of rare big data, and achieve the effect of reducing data dimension, high computing efficiency, and protecting user privacy information.

Pending Publication Date: 2018-04-10
CHINA TOBACCO GUANGXI IND
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, visualization methods and technologies for big data in the tobacco market are relatively rare

Method used

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  • A tobacco market big data visualization method based on space-time grids
  • A tobacco market big data visualization method based on space-time grids
  • A tobacco market big data visualization method based on space-time grids

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0037] This embodiment provides a method for visualization of tobacco market big data based on spatio-temporal grid, such as figure 1 shown, including:

[0038] S1: Create a three-dimensional space-time grid G ​​according to the preset parameter space side length L and time series interval I, and map the entire tobacco market data set to the three-dimensional space-time grid G ​​according to the time-space limited variable V in the tobacco market data set P middle.

[0039] S2: Perform data analysis and calculation on the grids in the three-dimensional space-time grid G.

[0040] S3: Perform data visualization on the calculated three-dimensional space-time grid G, and generate a space-time grid analysis diagram of the tobacco market.

[0041] In the above scheme, first construct a space-time grid structure of the tobacco market; then perform data analysis and calculation on the space-time grid; and finally visualize the space-time grid. This method can integrate massive mar...

Embodiment 2

[0043] In the above step S1, the method for creating the space-time grid of the tobacco market can be decomposed into three steps. An implementation is provided in this embodiment, including:

[0044] Specifically, such as figure 2 shown, including the following steps:

[0045] S11: Create a two-dimensional spatial data grid G' according to the spatial side length L;

[0046] S12: Perform time-series segmentation on the two-dimensional spatial grid G' according to the time-series interval I, to create a three-dimensional space-time grid G;

[0047] S13: According to the three-dimensional space-time information of each point in the three-dimensional space data set P, the data points are mapped to the corresponding space-time grids in the three-dimensional space-time data grid G, and the number of data points and the value of the space-time limited variable V are calculated. Cumulative calculation and recording;

[0048] In the above step S2, the data analysis and calculati...

Embodiment 3

[0058] Figure 4 It is a schematic diagram of the hardware structure of the electronic device for visualization of big data in the tobacco market based on the spatio-temporal grid provided in this embodiment, such as Figure 4 As shown, the equipment includes:

[0059] one or more processors 701 and memory 702, Figure 4 A processor 701 is taken as an example.

[0060] The device for realizing big data visualization of the tobacco market based on spatio-temporal grid may also include: an input device 703 and an output device 704 .

[0061] The processor 701, the memory 702, the input device 703 and the output device 704 may be connected via a bus or in other ways, Figure 4 Take connection via bus as an example.

[0062] The memory 702, as a non-volatile computer-readable storage medium, can be used to store non-volatile software programs, non-volatile computer-executable programs and modules, such as the implementation of the space-time grid-based tobacco Program instruc...

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Abstract

The invention specifically relates to a tobacco market big data visualization method based on space-time grids. The method comprises the steps of: 1, creating a three-dimensional time-space grid G according to the preset parameter space side length L and time sequence interval I, and mapping a whole tobacco market data set to the three-dimensional time-space grid G according to the time-space bound variable V in the tobacco market data set P; 2, performing data analysis and calculation on the checks in the three-dimensional time-space grid G; 3, performing data visualization on the three-dimensional time-space grid G after calculation and generating a tobacco market space-time grid analysis chart. According to the technical solution, the method can achieve data-driven visualization of massmulti-dimensional tobacco market big data based on time-space grids, thereby showing the time-space change of selling development trend of the tobacco market.

Description

technical field [0001] The invention relates to the fields of spatiotemporal data mining and tobacco market big data analysis, in particular to a method for visualization of tobacco market big data based on spatiotemporal grids. Background technique [0002] my country's tobacco industry is one of the important components of the national economy, and its market size exceeds one trillion yuan. In today's increasingly fierce market competition, for my country's tobacco companies, how to use the existing tobacco market information resources and master the core technology of market data analysis is an important task. Traditional market analysis methods mainly rely on statistical analysis, but the market state is changing rapidly, and it is a large-scale, dynamic and continuous process of change. What the statistical analysis obtains is a kind of summary result, and the expression of the time and space information of the tobacco market is not comprehensive, and it is difficult t...

Claims

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Application Information

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IPC IPC(8): G06Q30/02
CPCG06Q30/0201
Inventor 邓超陈智斌郭晓惠农英雄黄聪李喆韦屹汪倍贝钱方远
Owner CHINA TOBACCO GUANGXI IND
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